#generativeai

Anthropic - " AI is moving to fast"

Meanwhile RV confuses jumping off a cliff with flying.

Updated - F, 6/5/26.

The purpose of AI -

• To enhance (Productivity), (Efficiency); and to provide (Cost-savings).

• Employees are a line-item expense due to (Cost of Salary, and Benefits) from a business viewpoint.

  These are the facts.

The pain will be extreme.

https://www.youtube.com/watch?v=NBtUgWn-nHs

AI will prove to be the biggest scam ever foist upon corporate C suite knuckleheads. It's exposing just how ignorant and feckless all C suite clowns are, they all be-doverfor their consultants and do EXACTLY what they are told by these equally as evil consultants.

https://www.youtube.com/watch?v=NBtUgWn-nHs

Wendys, Starbucks, Uber, The Big Mouth Mark Benioff, all quietly removing their foots from their mouths and backtracking on AI due to failures and no ROI. AI cant even handle drive though hamburger orders.

Tech CEOs spent the last two years promising AI would replace workers, cut costs, and transform everything. Now they're quietly cancelling data centers, rehiring humans and admitting the math doesn't work. From Microsoft pulling back on billions in infrastructure to Starbucks ki-ling its AI inventory system after it couldn't count milk, Uber burning through a year of AI budget in four months, and one company accidentally spending $500 million on AI tools in a single month the AI hype is hitting reality. Even Sam Altman now says he was wrong about AI replacing jobs.

I saw the announcement that their AI tool deep research was released. It seems barely useable, and Bloomberg’s tools are miles better. They’ve been supposedly building this for years.

Are people at LSEG even doing any work or is this all a giant fraud?

Intel layoff people don’t have to wait until the end of the year for broken chips

https://www.tomshardware.com/laptops/nvidia-unveils-rtx-spark-superchip-at-computex-2026-new-platform-promises-to-turn-windows-into-an-agentic-ai-os-with-arm-cpu-blackwell-gpu-and-128gb-unified-memory

Intel is suffering a shortage of cutting-edge laptop chips built on its own 18A process node, hampering plans by computer makers to ramp up production, multiple sources told Culpium.

https://www.culpium.com/p/intel-is-struggling-to-supply-laptop

There's no winning.

Title says it all.

Uber burned through its entire 2026 AI budget in four months. Now its COO is questioning whether it’s worth it
https://fortune.com/2026/05/26/uber-coo-ai-spending-tokens-claude-code/

Matter of time when China will dump cheap LLMs.

A full year of continuous layoffs is something rarely seen at this scale. Many companies underestimated the value of experienced employees and overestimated AI’s ability to replace them. The biggest mistake is believing technology alone can replace knowledge, judgment, and human expertise.

TechFlow news, June 1: According to the Financial Times, Intel (INTC.O) plans to launch an AI chip by year-end that will use less expensive memory and cooling technologies compared to competing chips from NVIDIA and AMD.

Intel targets Nvidia with new AI chip by year end
https://www.ft.com/content/3ca15070-c1c7-4ec2-9598-e36b7de47bc0?syn-25a6b1a6=1

Dan’s goal isn’t to usher in a workplace utopia so let’s stop philosophizing about how AI should be used in theory. It’s just not going to happen!

Remember it’s the good old cut throat Verizon company culture we’re talking about here.

https://www.bankingdive.com/news/wells-fargo-ceo-scharf-ai-employment-banking-jobs/821368/

Rawul made appearance, got a hour of his sports franchise to work at DXC.

He wants everyone to AI up for no pay.

Whilst his racking in the money everywhere, how does that work?

It might actually be good for truist when the llm circlej bubble pops, as they haven't been able to waste that much money on it yet.

Anyone that thinks ai is "good" for most of the tasks for which it is being proposed, fundamentally does not understand what it means to be human, nor do they understand ai beyond "I need to gobble and push this to keep my job." Dogsh!t code, lies constantly. If you are an expert in your field and quiz it, this becomes apparently immediately.

Join Truist Luddites Anonymous today.

Tech Firms and Large Employers just now realizing cost of compute is higher than paying human workers.
Nvidia VP Bryan Catanzaro told Axios that for his team, compute costs now run far beyond what his employees cost. Uber's CTO burned through his entire 2026 AI budget on coding tools alone — and that was by April. (Axios)
OpenClaw creator Peter Steinberger claimed that his team spent more than $1.3 million in token costs in just a single month. Because of this, it’s now apparent that using AI is more expensive than hiring people, especially since it offers only limited productivity gains at the moment.
Despite no clear evidence of AI improving productivity and no widespread data supporting the idea of AI displacing jobs, big tech firms have committed $740 billion in AI capital expenditures this year — a 69% jump from 2025. That spending has coincided with more than 92,000 tech layoffs in 2026 so far. (Fortune) So companies are simultaneously spending more on AI, laying people off, and discovering the math doesn't pencil out the way they projected.

Cold....hard.....facts. Their massive AI Infrastructure-Related Securities Suit aside.

https://www.youtube.com/watch?v=zECyMRI8sV4

1 By partnering closely with NVIDIA, Dell successfully secured a front-row seat on the AI wave.
2 By backing Donald Trump, Dell gained political support and substantial government orders.
3 By distancing the company from China and giving up part of the Chinese market, Dell earned strong trust from Trump and his allies.
4 Through quiet but decisive and continuous layoffs, Dell has consistently reduced costs.
5 By shifting operations toward India, Dell has maintained product competitiveness.

https://l.smartnews.com/p-7N8S54w8/P2qeIM

Claude Code launched inside Microsoft's Experiences and Devices group in December 2025. Six months later, the experiment is ending. The tool was not cancelled because engineers disliked it. It was cancelled because they used it too much.

👍

is when the regulators start looking at how employers ignore honest feedback from AI.

better keep those records.

Have the people pushing this ever actually used AI for anything real? Yeah, you can automate some boring stuff, but you could do that with regular code, and you wouldn't have to babysit it. Plus, AI doesn't create anything new. It never will. Once we're gone, who's left to train it? Game over. Makes zero sense to me.

Story by Craig Hale

Four in five execs say they were less likely to value human employees after using AI
AI still requires human oversight, and many struggle to fully trust it

Poor and even negative ROI continues to plague many

A new study by Globalization Partners has revealed more than four in five (82%) company execs say they are less likely to value human employees after using AI tools, positioning human workers as secondary assets after more capable systems.

This sentiment differs from the current state of affairs, whereby 60% of the 2,850 surveyed senior execs agreed humans still lead work operations with AI merely serving as a productivity booster.

The difference could imply that, while humans remain integral today, managers may place less of an emphasis on the human workforce in the future as AI gets more work done autonomously.

AI is impacting how much top managers value their human workers

The shift likely positions humans as AI managers, rather than administrative workers, with two in three (69%) now spending more time than ever before monitoring and reviewing AI-generated work. The sense of a lack of trust still lingers, too, with only 23% having total confidence in AI's accuracy and 61% worries about legal accuracy when using AI on sensitive documents.

However, while some execs see AI as a human replacer, many others are still dissatisfied with their returns. Three-quarters (73%) say ROI has fallen short of expectations, with 16% even reporting negative ROI. As a result, around seven in 10 execs say they're prepared to cut AI budgets this year if goals are not met.

Separately, Gartner VP Analyst Padraig Byrne explained, "AI is everywhere, but most organizations are still figuring out how to monitor and trust these systems."

Giving a sneak peak into where companies might be getting it wrong, the research firm implied that those building AI agents without strong semantic and contextual data foundations are most likely to see hallucinations, unreliable outputs and biases.

Together, the two reports indicate that while execs are increasingly seeing AI as unavoidable, many are still struggling to trust it.

Looking ahead, Gartner calls for the implementation of model monitoring policies to provide quite quality metrics and an increased focus on infrastructure to handle high-volume model telemetry.

https://www.msn.com/en-us/money/other/most-executives-admit-using-ai-makes-them-value-human-workers-less

There’s a lot of buzz lately about using AI tools to dodge getting cut. But is this really happening? If you’re relying on AI tools, shouldn’t you be the one getting replaced?

Given recent townhall. The idea of shifting from engineers and managers to AI Builders as a blanket term to cover both engineering and managers as one. How are others feeling about this? Shifting team sizes to teams of 2-4 with a goal of trying to get code to production in 5 days. Does anyone else think it’s problematic? Team size changes meaning more layoffs to come? Anyone feeling as if there is a big disconnect from what upper management envisions and what goes on a day to day? Do we see quality control dropping and heavier workloads that will be “solved” because of AI? Anyone feeling let down by leadership?

Some managers have less than 5 reports
AI is barely being used, if at all

Meanwhile companies that will survive are flattening the orgs and making managers have at least ten reports and AI is used everywhere

We are so far behind it's worrying

OPED in today's WSJ. I think Verizon will likely see another big round of layoffs in the fall. SMH.

Algi Febri Sugita/Zuma Press

Two weeks ago I laid off more than 20% of my workforce. I didn’t do it because Cloudflare is struggling. We posted record revenue growth, have strong free cash flow and are adding an unprecedented number of customers around the world. I did it because business is changing, and to win the future, Cloudflare needs to change with it.

We haven’t found another example in U.S. business history of a public company growing at more than 30% that laid off more than 20% of its workforce. Yet what we did is likely going to become the norm over the next year. This is a story about artificial intelligence, but executives and commentators are misunderstanding how it will disrupt business and who will be affected.

To understand the issue, I went back to a book published in 1954, 20 years before I was born: Peter Drucker’s “The Practice of Management.” Drucker explores the different roles inside every business, which I would categorize as builders, sellers and measurers.

Builders create products. Sellers sell those products. Measurers do everything else: internal audit, revenue recognition, finance, legal, compliance, middle management, operations and on and on.

Contrary to what some analysts predict, builders aren’t going anywhere. If an engineer on my team can now be 10 times as productive, I’m going to hire as many as I can find.

Sellers, too, are safe from extinction. Humans still control budgets, and they want to buy from people who take the time to understand their needs, build trust and fix whatever goes wrong.

Measurers are also critical to a business, but different from the other two. The best are hard to find. They work tirelessly behind the scenes, don’t seek the recognition of a front-of-house role, and ideally have a perspective independent from the rest of the organization. Drucker argues that measuring business is important, but customers are earned through building and selling. The best businesses would maximize investment in those two functions.

AI isn’t coming for builders or sellers, but it is coming for measurers. Tireless, independent, efficient and available, AI systems can now measure an organization with a level of objective detail and precision that was previously impossible even for the best employees.

For Cloudflare, internal audit previously picked a handful of business risk areas to scrutinize each quarter. Now we’re moving to a system in which every business risk is audited continuously. We’re closing our books faster. We’re making fewer mistakes and catching the ones we do more reliably. And, as CEO, I’ve never had better tools to measure exactly how the business is performing, including identifying our rising stars.

The vast majority of those we laid off last week were measurers. We cut middle managers across the organization because AI allows us to have more direct reports per manager while still measuring and mentoring our teams effectively. We consolidated our operations functions into a single group that can support teams across the business, using AI to gain specific expertise when needed. We significantly reduced our marketing team, which, like in most companies, was teeming with measurers. Across our finance team, we found opportunities to consolidate and automate.

But the layoff wasn’t about reducing headcount. In fact, we have a record number of open positions. In coming years I expect our number of employees will continue to grow. With fewer people needed for measuring, we can now invest more in people in the areas that drive growth.

We received almost a million applicants for 1,111 paid internships this summer. The interns we hired are extremely qualified and AI-native. They’re all builders or sellers, and we expect that the majority will get full-time offers.

They’re the next generation who will invent ways to drive our business. With AI we can now better measure their contributions and accurately identify those who will be tomorrow’s leaders. AI isn’t the harbinger of bleak youth unemployment—it is quite the opposite.

AI won’t ki-l all jobs. But it will change every business. Ultimately, it will prove Drucker right. AI will allow us to better measure our organizations so the humans on our teams can focus on where they create and capture value: building and selling.

Mr. Prince is CEO of Cloudflare.

WebLogic 26? Fusion Middleware 27? Who is left to build any of this? Will it all just be AI slop? https://blogs.oracle.com/fusionmiddlewaresupport/oracle-fusion-middleware-statement-of-direction-is-now-available

Call out your bad leaders

6 in 10 workers say they have a toxic boss, study finds
Employees say poor leadership is driving stress, job changes, and even financial loss, while companies invest more in AI than in people.

Link: https://www.fastcompany.com/91534390/6-in-10-workers-say-they-have-a-toxic-boss-study-finds

As a meta mate I heard about the 7k employees being moved to MSL to work on AI initiatives.

Few questions:
How can I volunteer to be moved, or was that already randomly determined?

What are they actually doing there? Anything cutting edge?

Will they the most safe from the next few layoffs since they just got re orged?

Why in the world is Gemini AI being pushed for everything...from scripting to positioning statements to call analysis to coaching. Just stop already.

Seems like with sending jobs out of our country and their all in approach to AI, I wonder just how many jobs will be left.

Qualcomm’s CEO is working with ‘pretty much all’ major AI players on top-secret devices—and powering OpenAI’s first push into hardware

https://finance.yahoo.com/sectors/technology/articles/qualcomm-ceo-working-pretty-much-102600275.html

All AI heavyweights are traveling on Air Force One since yesterday.

Cisco's true job is laying off Americans and hire cheap labors at India and Mexico

Reading between the lines: companies should accelerate their use of AI to streamline [Read: reduce headcount] their organizations.

Arvind Krishna says the key to unlocking returns on AI is less about technology alone than a wholesale shift in the way companies approach their workflows

By: Steven Rosenbush
Updated May 5, 2026 3:33 pm ET

International Business Machines CEO Arvind Krishna says maximizing returns on investment in artificial intelligence requires a fundamental restructuring of business workflows rather than just adopting new technology.

The use of AI within a company typically evolves from the individual contributor to small teams, cross-functional groups and ultimately the entire organization. As a company progresses from one stage to another, so do the potential returns on AI investment. That’s less about technology alone than it is about updating age-old processes and social dynamics, according to Krishna.

“In the next year or two, the enterprise world will sort into two camps: companies where AI runs their business, and companies where AI is still a project,” Krishna said.

The line between those companies that make broader use of AI and those that don’t won’t simply come down to technology. “It will be their operating model,” Krishna said.

IBM on Tuesday at its Think conference in Boston announced a slew of products and capabilities, including a new version of watsonx Orchestrate, a secure multiagent control plane, and IBM Bob, for securely building and deploying agents.

While model developers are competing to stay one step ahead of each other, IBM is approaching AI from a different angle, helping its clients scale their AI efforts. AI is a core part of the technology giant’s strategy.

Last month, IBM reported higher first-quarter revenue of $15.92 billion and higher profit, driven by growing adoption of artificial-intelligence tools. While the numbers were ahead of expectations, the stock price fell. To some extent, that reflects the fact that IBM has been caught up in broader AI-driven concerns about software, but Ben Reitzes of equity research and consulting firm Melius Research has a buy rating on the company. “I’m excited…to see their AI-related business come of age,” he said.

Client zero

The use of AI at many companies began in earnest in recent years with proofs of concept. The experimentation stage has led to the greenlighting of many projects. Now companies are looking to move to the next stage, or enterprisewide deployment of AI. That’s potentially more rewarding, but also much more complex from an organizational perspective.

Krishna cited the evolution of IBM’s internal human-resource processes as an example of the operating model behind enterprise-level scaling.

In the pre-AI era, Krishna said, if an employee requested an employment verification letter to support an apartment rental application, the workflow required up to 18 different human touchpoints, including a manager, an HR business specialist, back-office staff and multiple software systems.

Today, an employee can generate the letter by making a request to an internal bot called “Ask HR.” The AI agent, integrated into IBM’s security network, automatically verifies the employee’s identity, pulls the required data from the HR system and sends the letter. All the employee has to do is specify how the letter should be delivered. The 18 touchpoints have been reduced to just one, according to Krishna.

To enable AI to scale across the enterprise, processes need to be redesigned end to end, according to Krishna. IBM’s Project Bob, as the initiative was known internally before it became a product, was designed to manage the entire software development life cycle, from writing new code to patching old code, generating documentation, creating test cases and ensuring security compliance, he said.

“I don’t begin with eliminating steps. I begin with how many touch points can I take out? And how can I make it much more nimble and faster and end-to-end? That’s the goal. Out of that comes the fact that you should eliminate steps,” Krishna said.

If people lose their jobs as a result, “I get to redeploy them, to do something else of more value,” Krishna said.

IBM has made progress rethinking its operating models, but more work lies ahead.

The hard part

Elevance Health Chief Digital Information Officer Ratnakar Lavu said AI is transforming the way the insurance giant works. The company, a longstanding IBM customer, is working with IBM to deploy AI-driven digital assistants. IBM said it is also one of the providers that helps Elevance with AI applications such as claims and approvals. Elevance works with other AI companies on a range of applications, too. For example, it has also rolled out an internal, OpenAI-powered tool called “Spark” to help its workforce operate at peak productivity. And it applies AI to the claims and approvals process.

Through a virtual assistant, the insured can ask complex questions about their benefits, such as whether knee pain treatments are covered, and receive instant, cost-optimized provider recommendations, according to Lavu.

Like Krishna, Lavu said the successful deployment of such AI applications demands a careful recalibration of business processes across the firm. In his experience, that effort requires a deep collaboration between business and technology teams. And instead of thinking about the work as an IT project, the insurer is focused on the end-user experience. Rigorous AI governance that integrates bias testing, transparency and explainability are part of the effort from the start. As solutions are built and deployed, a parallel governance process takes place, making sure they perform ethically and within strict enterprise guidelines, Lavu said.

There are plenty of challenges along the way. Official documentation hardly ever matches the reality of how work is actually done. Businesses are bogged down by deeply embedded business rules and legacy systems. And redesigning a process with AI requires establishing entirely new checks and balances to ensure the effort doesn’t inadvertently skew key performance indicators or lead to unintended outcomes, Lavu said.

Those redesigned processes need to be connected to one another, too. For example, he said, the newly redesigned prior authorization process must continuously communicate with the newly redesigned benefits process. Only by connecting such end-to-end workflows can a company streamline operations, eliminate bottlenecks and see the full realization of AI investments, according to Lavu.

And while Elevance is seeing significant success and clear ROI in the redesign of the individual process around AI, the company “still has work to do in the connectivity of processes to see the net outcome.”

That’s the end-to-end connectivity approach driving IBM’s work. And while IBM has made progress rethinking its operating models, more work lies ahead, according to Krishna.

“I think it’s early days. We’re only a third of the way through what can be done,” he said.

For the last couple of months i've spent time following trainings, learning how to build agents etc but Eliza just isn't delivering. Copilot on the other hand is far simpler to use and gets me what i need without giving me a migraine.

Does anyone else have a manager who’s fully surrendered to AI?

Every decision gets delayed because it has to go through ChatGPT first. You get assigned things that aren’t actually possible because “AI said it could be done,” then get told to use AI to figure it out. Eventually they try it themselves and realize the request wasn’t possible in the first place.

Every idea/process supposedly has a “better way” because AI will always suggest optimizations, rewrites, or process changes, even when they make zero sense given the actual constraints.

They send emails that are so obviously AI-written it hurts. Domain expertise gets ignored if it conflicts with the AI response.

And the best part: when I say something, it gets pushed back on. But if I explain that I am reading what AI responded with, suddenly they agree.

(Full disclaimer, I used AI to reword my post)

L7s, L8s, and L9s have forgone years of experience and nuanced knowledge that their teams’ possess in favor of having their egos stroked by fluff words from a machine that placates whoever is prompting it.

Many people who have been on businesses and can advise on actionable things to make them grow are being gaslit, ignored, and essentially told “shut up and do as you’re told”.

Of course it’s understandable how and why a corporation thrives on hierarchy, but having leaders who are NOT experts in their field giving vague opinions with zero willingness to learn about individual business does not make sense from a business perspective much less a personal one.

They expect us to decode their ChatGPT strategy and do backflips and upheave our lives to mind read and materialize what even they don’t know. This isn’t just a tool anymore, gen ai is running this company.

Long gone are the days where we were guest obsessed and interacting with the our shoppers to understand their needs. We now create product to appease one or two people.

Praying for a wake up call to save this mediocre and spineless company. I used to love this job so so much. I want it to get back to the way it was when the guest loved us and WE THE WORKERS loved it here as well 💔